GEM-AI
Genomics, Multiomics & AI (GEM-AI) brings together the power of data, biological and computational sciences to advance our understanding of life at its most fundamental levels.
Biology has become increasingly complex, with large scale genetic, molecular, and biochemical data being generated at an unprecedented rate. GEM-AI aims to lead the way in systematically exploring how genes, molecules, and systems interact to shape human health, disease, and evolution. We welcome you to GEM-AI!
GEM-AI is focused on tackling many large and important questions, including:
- How does our DNA influence our biology to drive human disease?
- How does genetic diversity across populations and ancestries give rise to diverse phenotypes and drug responses?
- How do microbes interact with their hosts and environments?
- In what ways does our DNA regulate the structure and function of proteins?
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Can human stem cells serve as proxies for living individuals to test hypotheses about genetic mechanisms of disease or treatment response?
- Can AI help us predict the best medicines for patients?
Example research projects include:
- Performing large-scale genetic analysis for genetic discovery and risk prediction in biobanks such as UK Biobank and All of Us Research Program
- Using multi-modality machine learning and AI to study tumor progression and improve treatment
- Developing mechanistic models and machine-learning methods to address complex problems in microbial communities
- Building AI-frameworks to simulate perturbation responses across diverse cellular contexts
- Using single-cell CRISPR perturbations screens in human cells to test the functional of risk variants associated with psychiatric outcomes